{
  "name": "LuminaV",
  "version": "1.3.0",
  "description": "Master-free, low-precision adaptive optimizer with hyperbolic bounding, directional cautious masking, fused single-pass EMA execution, and automatic dynamic FP16 cliff governor.",
  "paper": {
    "title": "LuminaV: We Were Too Broke for AdamW So We Trapped Gradients in a Hyperbolic Straitjacket and Hired a Traffic Cop to Slap Them",
    "doi": "10.57967/hf/10270",
    "software_doi": "10.57967/hf/10365",
    "license": "Apache-2.0"
  },
  "default_params": {
    "lr": 0.0008,
    "betas": [0.9, 0.999],
    "eps": 1e-08,
    "weight_decay": 0.08,
    "tau": 0.8,
    "alpha_ss": 0.5,
    "cautious": true,
    "cautious_clamp_min": 0.5,
    "buffer": 2,
    "stochastic_rounding": true,
    "bound": true,
    "bound_type": "radial",
    "bound_ratio": 0.03,
    "master_weights": "none",
    "execution": "auto",
    "fused_single_pass": false,
    "ema_decay": 0.8,
    "seed": 1337
  },
  "presets": {
    "dual_buffer_standard": {
      "buffer": 2,
      "cautious": true,
      "cautious_clamp_min": 0.5,
      "bound": true,
      "bound_type": "radial",
      "bound_ratio": 0.03,
      "stochastic_rounding": true,
      "master_weights": "none",
      "fused_single_pass": false,
      "description": "Standard high-convergence master-free mode tracking first moment (m_t), centered innovation variance (v_t), and direction-preserving radial bounding."
    },
    "fused_single_pass_ema": {
      "buffer": 2,
      "cautious": true,
      "cautious_clamp_min": 0.5,
      "bound": true,
      "bound_type": "radial",
      "bound_ratio": 0.03,
      "stochastic_rounding": true,
      "master_weights": "none",
      "fused_single_pass": true,
      "ema_decay": 0.8,
      "description": "Ultra-fast fused single-pass execution using running EMA scale estimates (cuts global GPU memory bandwidth traffic by up to ~50%)."
    },
    "semi_hybrid_fp32_master": {
      "buffer": 2,
      "cautious": true,
      "cautious_clamp_min": 0.5,
      "bound": true,
      "bound_type": "radial",
      "bound_ratio": 0.03,
      "stochastic_rounding": true,
      "master_weights": "semi",
      "fused_single_pass": false,
      "description": "Hybrid precision mode pairing 32-bit FP32 master weights with 16-bit low-memory moments (saves 50% optimizer state VRAM with full FP32 accumulation precision)."
    },
    "full_fp32_baseline": {
      "buffer": 2,
      "cautious": true,
      "cautious_clamp_min": 0.5,
      "bound": true,
      "bound_type": "radial",
      "bound_ratio": 0.03,
      "stochastic_rounding": true,
      "master_weights": "full",
      "fused_single_pass": false,
      "description": "Traditional full-precision FP32 master weights and FP32 optimizer states for controlled baseline comparisons."
    },
    "single_buffer_low_vram": {
      "buffer": 1,
      "alpha_ss": 0.5,
      "cautious": true,
      "cautious_clamp_min": 0.5,
      "bound": true,
      "bound_type": "radial",
      "bound_ratio": 0.03,
      "stochastic_rounding": true,
      "master_weights": "none",
      "fused_single_pass": false,
      "description": "Ultra-low VRAM mode using tensor-wide RMS, softsign scaling, and radial bounding (cuts optimizer state memory by 50%)."
    },
    "coordinate_hyperbolic_bound": {
      "buffer": 2,
      "cautious": true,
      "cautious_clamp_min": 0.5,
      "bound": true,
      "bound_type": "coordinate",
      "bound_ratio": 0.03,
      "stochastic_rounding": true,
      "master_weights": "none",
      "fused_single_pass": false,
      "description": "Fine-grained per-element dual-hyperbolic bounding mode."
    },
    "fast_throughput_no_cautious": {
      "buffer": 2,
      "cautious": false,
      "bound": false,
      "stochastic_rounding": false,
      "master_weights": "none",
      "fused_single_pass": false,
      "description": "Maximum throughput single-pass mode eliminating reduction synchronization and bounding overhead."
    }
  }
}